Search research articles

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Reduced cyclin D3 expression in erythroid cells protects against malaria.

Nature·2026

Same author

When migration leaves a clean trace: Decoupling migration from coalescence in the structured serial coalescent.

bioRxiv : the preprint server for biology·2025

Same author

Jointly representing long-range genetic similarity and spatially heterogeneous isolation-by-distance.

PLoS genetics·2025

Same author

Jointly representing long-range genetic similarity and spatially heterogeneous isolation-by-distance.

bioRxiv : the preprint server for biology·2025

Same author

Detecting deviations from Kingman coalescence using 2-site frequency spectra.

Genetics·2025

Same author

Study design and the sampling of deleterious rare variants in biobank-scale datasets.

bioRxiv : the preprint server for biology·2024

Same journal

Plasmonic nanocomposite helices for weather-adaptive LiDAR function.

Nature communications·2026

Same journal

Multidirectional strain-insensitive stretchable RF electronics.

Nature communications·2026

Same journal

In-scanner thoughts contribute to resting-state functional connectivity.

Nature communications·2026

Same journal

Metal-center electron affinity modulates multicolor electrochromism in 2D conjugated metal-organic frameworks.

Nature communications·2026

Same journal

Hyperbranched dielectric polymer networks exhibiting giant energy storage density at 250 °C.

Nature communications·2026

Same journal

3D nanoprinting of metals by spatiotemporally confined hot electrons via multiple-electron excitations in nanocrystals.

Nature communications·2026

See all related articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 25, 2026

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

FRAME: Fine-Resolution Asymmetric Migration Estimation.

Hao Shen¹, John Novembre^2,3

¹Department of Human Genetics, University of Chicago, Chicago, IL, USA.

Nature Communications

|June 23, 2026

Summary

This summary is machine-generated.

We developed a new algorithm and method called Fine-Resolution Asymmetric Migration Estimation (FRAME) to accurately infer asymmetric migration rates and understand population genetic structure.

More Related Videos

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

A Cost Effective and Adaptable Scratch Migration Assay

A Cost Effective and Adaptable Scratch Migration Assay

Published on: June 30, 2020

Related Experiment Videos

Last Updated: Jun 25, 2026

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

A Cost Effective and Adaptable Scratch Migration Assay

A Cost Effective and Adaptable Scratch Migration Assay

Published on: June 30, 2020

Area of Science:

Population Genetics
Evolutionary Biology
Bioinformatics

Background:

Population genetic structure is influenced by asymmetric gene flow between locations.
Understanding these migration patterns is crucial for evolutionary studies.

Purpose of the Study:

To develop an efficient algorithm for computing coalescent times.
To introduce a novel method, FRAME, for inferring asymmetric migration rates.
To provide a refined representation of the geographic structure of genetic variation.

Main Methods:

Developed an algorithm for efficient pairwise coalescent time computation.
Created the Fine-Resolution Asymmetric Migration Estimation (FRAME) method.
Applied FRAME to simulated data, poplar trees, gray wolves, and human archaeogenetic samples.

Main Results:

The algorithm enables efficient computation in migration-drift equilibrium models.
FRAME successfully infers asymmetric migration rates in spatial population structures.
Analysis revealed complex asymmetric migration signals in diverse datasets.

Conclusions:

FRAME offers a novel and refined approach to visualizing population genetic structure.
The method enhances our understanding of gene flow dynamics across geographic locations.
This work provides a more detailed view of the geographic structure of genetic variation.